ML Platform Engineer: Scale AI Infrastructure

Gusto
San Francisco, CA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Python (Programming Language) Machine Learning Ruby Azure Machine Learning Software Engineering AI Infrastructure Cloud Platform System Machine Learning Operations Data Pipelines

Job description

Gusto is seeking a Machine Learning Platform Engineer to join our ML Platform team to build, scale, and deploy ML/AI infrastructure at pace. You will work closely with AI/ML engineers to deliver reliable, scalable platform services and support the end-to-end ML lifecycle from data pipelines to deployment.

Requirements

The ideal candidate has 5+ years of software engineering experience (Python, Ruby or Java), plus experience designing ML infrastructure and cloud environments.

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